Operations Research Management (2 Units; Elective; L = 15; P = 45)
Course Outline
Introduction to operational research and management. Mathematical modelling and problem formulation in ORM. Linear programming. Network analysis and critical path method (CPM). Queuing theory. Decision theory. Quality control and assurance techniques for improving product and service quality. Game theory and its applications in competitive decision-making. Stochastic processes. Simulation modelling and analysis for risk analysis and decision-making. Decision theory and its applications in decision-making under uncertainty. Forecasting. Optimization techniques. Multi-criteria decision-making techniques for decision-making in complex environments. Non-linear programming and optimization for complex decision-making problems. Dynamic programming and its applications in optimization of sequential decision- making problems. Heuristics and metaheuristics for solving optimization problems in real-world scenarios.
- Teacher: LMS Admin